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DBMS > Firebase Realtime Database vs. KeyDB vs. MarkLogic vs. Valentina Server

System Properties Comparison Firebase Realtime Database vs. KeyDB vs. MarkLogic vs. Valentina Server

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonKeyDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOperational and transactional Enterprise NoSQL databaseObject-relational database and reports server
Primary database modelDocument storeKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­Snapchat/­KeyDB
keydb.dev
www.marklogic.comwww.valentina-db.net
Technical documentationfirebase.google.com/­docs/­databasedocs.keydb.devdocs.marklogic.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogle infoacquired by Google 2014EQ Alpha Technology Ltd.MarkLogic Corp.Paradigma Software
Initial release2012201920011999
Current release11.0, December 20225.7.5
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnonoyes infoSQL92yes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored procedureslimited functionality with using 'rules'Luayes infovia XQuery or JavaScriptyes
TriggersCallbacks are triggered when data changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesOptimistic locking, atomic execution of commands blocks and scriptsACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes
User concepts infoAccess controlyes, based on authentication and database rulessimple password-based access control and ACLRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseKeyDBMarkLogicValentina Server
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